RAI.Analysis

Submodules

RAI.Analysis.analysis module

class RAI.Analysis.analysis.Analysis(ai_system: AISystem, dataset: str, tag: str | None = None)[source]

Bases: ABC

abstract initialize()[source]

classmethod is_compatible(ai_system, dataset: str)[source]

Parameters:

ai_system – input the ai_system object
dataset – input the dataset

Returns:

class object

Returns the classifier and sklearn object data

progress_percent(percentage_complete)[source]

Parameter:: percentage_complete
Returns:: None

Shows the progress percent value

progress_tick()[source]

Parameter:: None
Returns:: None

On every compute it changes the current_tick value

set_connection(connection)[source]

Parameters:: connection – inputs connection data
Returns:: None

Connection is a function that accepts progress, and pings the dashboard

abstract to_html()[source]

abstract to_string()[source]

RAI.Analysis.analysis_manager module

class RAI.Analysis.analysis_manager.AnalysisManager[source]

Bases: object

get_available_analysis(ai_system: AISystem, dataset: str)[source]

Parameters:

AISystem – input the ai_system obj
dataset – input the dataset

Returns:

list.

Returns the lists of analysis data

run_all(ai_system: AISystem, dataset: str, tag: str)[source]

Parameters:

AISystem – input the ai_system obj
dataset – input the dataset
tag – By default None else given tag Name

Returns:

None.

Returns the analysis data result analysis

run_analysis(ai_system: AISystem, dataset: str, analysis_names, tag=None, connection=None)[source]

Parameters:

AISystem – input the ai_system obj
dataset – input the dataset
tag – By default None else given tag Name
analysis_names – analysis_names data set
connection – By default None

Returns:

Dict.

Returns the analysis data result analysis

RAI.Analysis.analysis_registry module

RAI.Analysis.analysis_registry.register_class(class_name, class_object)[source]

Parameters:

class_name – inputs the name for the class and that should be unique
class_object – class object is given as the input

Returns:

registered data in the form of dictionary containing class name as the key and class object as the value